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| MO-C930-GePD-F8-5 | T2* MRI Presents Differences in Iron Deposition in Essential Tremor and Parkinsons Disease E Cameron1,2*, K Ostrowski1 , JP Dyke3 , W Bogner4 , J Ukropec5 , ED Louis6 , U Dydak1,2 , (1) Purdue University, West Lafayette, IN, (2) Indiana University School of Medicine, Indianapolis, IN, (3) Weill Cornell Medicine, New York, NY, (4) Medical University of Vienna, Vienna, Austria. (5) Slovak Academy of Sciences, Bratislava, Slovakia. (6) Yale University, New Haven, CT. |
| MO-C930-GePD-F8-6 | Tumour Signal Enhancement Volume Increase in DCE-MRI After Single Fraction SBRT of Early Stage Breast Cancer M Mouawad1,2,3*, H Biernaski2 , M Brackstone3 , M Lock3 , A Kornecki4 , O Shmuilovich4 , I Nachum4 , F Prato1,2 , R Thompson1,2 , S Gaede1,2,3 , N Gelman1,2,3 , (1) Western University, London, Ontario, Canada (2) Lawson Health Research Institute, London, Ontario, Canada, (3) London Regional Cancer Program, London, Ontario, Canada, (4) St. Joseph's Health Center, London, Ontario, Canada |
| MO-E115-GePD-F2-3 | Effect of Lung SBRT Fractionation On Feature Variability of Longitudinal Cone-Beam CT Radiomics R Geng1*, K Lafata2 , F Yin3 , (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke University Medical Center, Durham, NC |
| MO-E115-GePD-F2-4 | Longitudinal Changes of Cone Beam Computed Tomography Based Radiomics Features During Chemoradiotherapy for Locally Advanced Lung Cancer L Shi1*, Y Rong1 , M Daly1 , B Dyer1 , S Benedict1 , P Wang2 , J Qiu2 , T Yamamoto1 , (1) University of California Davis Comprehensive Cancer Center, Sacramento, CA, (2) Taishan Medical University, Taian, Shandong |
| MO-I345-GePD-F8-4 | Modification of the ACR Phantom and Analysis Procedures for 7T Clinical MRI Scanner Testing D Lanners1*, P Trester1 , Y Shu1 , Z Bao1 , J Felmlee1 , A Fagan1 , (1) Mayo Clinic, Rochester, MN |
| MO-K-DBRA-5 | Incorporating a Novel Radiomics Framework for Biologically Optimised Prostate RadioTherapy (BiRT) A Haworth1*, Y Sun2 , M Ebert3 , H Reynolds4 , J Betts5 , D Wraith6 , C Mitchell7 , D Murphy8 , S Williams9 , (1) University of Sydney, Sydney, New South Wales, (2) University of Sydney, Sydney, New South Wales, (3) The University of Western Australia, Nedlands, ,(4) Peter MacCallum Cancer Centre, Melbourne, Victoria, (5) Monash University, Clayton, Vic, (6) Queensland University of Technology, Kelvin Grove, Qld, (7) Peter MacCallum Cancer Centre, Parkville, Vic, (8) Peter MacCallum Cancer Centre, Parkville, Vic, (9) Peter MacCallum Cancer Centre, Melbourne, Victoria |
| MO-K-KDBRC-6 | JACK KROHMER JUNIOR INVESTIGATOR COMPETITION WINNER: Selecting Predictive Genomic Biomarkers for Oropharyngeal Cancer Treatment Prediction by Use of Advanced Machine Learning Method J Wu1*, C Lian2, S Ruan2, S Mutic1, M Anastasio1, H Gay1, W Thorstad1, X Wang1, H Li1, (1) Washington University in St. Louis, Saint Louis, MO, USA (2) University of Rouen, Rouen, France |
| SU-E-205-1 | An Automated Software Tool for Task-Based Image Quality Assessment and Matching in Clinical CT Using the TG-233 Framework J Solomon*, Y Zhang , J Wilson , E Samei , Duke University Medical Center, Durham, NC |
| SU-E-KDBRC-4 | Use of Vasculature Information in Biomechanical Model-Based Registration of Longitudinal Liver Cancer CT Scans G Cazoulat*, B Chaudhury , B Anderson , M Zaid , D Elganainy , EJ Koay , K Brock , The University of Texas MD Anderson Cancer Center, Houston, TX |
| SU-E-KDBRC-5 | An Investigation of Machine Learning Methods for Delta-Radiomic Feature Analysis Y Chang1*, F Yin2 , (1) Duke Kunshan University, Kunshan, ,(2) Duke University Medical Center, Durham, NC; Duke Kunshan University, Kunshan |
| SU-F-202-6 | A Method to Improve Landmark Pair Positional Accuracy for Image Registration Verification D Yang*, Y Fu , X Chang , H Li , Washington University School of Medicine, St. Louis, MO |
| SU-F-207-6 | Whole Skeleton Statistical Appearance Models Applied to the Detection of Abnormal Bone in NaF PET/CT Images T Perk1*, M Scarpelli1 , T Bradshaw1 , S Chen2 , R Jeraj1,3 , (1) University of Wisconsin, Madison, WI (2) The 1st hospital of China Medical University, Shenyang, Liaoning (3) University of Ljubljana, Ljubljana, Slovenia |
| SU-F-207-7 | Image Quality and Performance Evaluation of Semiconductor Detector Materials Based On Photon Counting H Kim*, D Kim , M Lee , H Kim , Yonsei University, Wonju, Gangwon |
| SU-H300-GePD-F8-6 | Predicting Prognosis of Lung Cancer Patient Based On Radiomic Features From Slow CT Images S Sato1*, N Kadoya1 , K Takeda1 , T Kajikawa1 , T Yamamoto1 , K Takeda2 , K Jingu1 , (1) Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan (2) Department of Therapeutic Radiology, Tohoku University School of Medicine, Sendai, Japan |
| SU-H330-GePD-F9-5 | Radiomics Versus Radiologist Interpretations of Geometrical and Texture MRI Features of Musculoskeletal Tumors A Rodriguez1*, S Fisher2 , M Folkert3 , H Omar4 , L Tenorio5 , A Chhabra6 , J Wang7 , (1) University of Texas Southwestern, Dallas, TX, (2) University of Texas Southwestern Medical Center, Dallas, TEXAS, (3) UT Southwestern Medical Center, Dallas, Texas, (4) University of Texas Southwestern Medical Center, Dallas, TX, (5) University of Texas Southwestern Medical Center, Dallas, TX, (6) University of Texas Southwestern Medical Center, Dallas, TX, (7) UT Southwestern Medical Center, Dallas, TX |
| SU-H400-GePD-F5-1 | Inter-Observer Variation in Intra-Fraction Motion Assessment During Intracranial Stereotactic Radiosurgery Using MV Images R Sullivan*, X Wu , E Covington , R Popple , The University of Alabama at Birmingham, Birmingham, AL |
| SU-H430-GePD-F6-6 | Quantitative Comparison Between 3T and 7T MRI for Detection of Head and Neck Cancer for MRI-Based Treatment Planning M Lee1*, K Song1 , B Choe1 , T Suh1 , (1) Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, Republic of Korea |
| SU-H430-GePD-F8-1 | Classification of Hepatic Tumor Images Using Persistent Homology J Kotoku1*, A Oyama1 , Y Hiraoka2 , I Obayashi2 , K Shiraishi1 , A Haga3 ,H Kondo1 , Y Saikawa1 , T Kobayashi1 , S Furui1 , (1) Teikyo University, Tokyo, Japan,(2) Tohoku University, Aoba-ku, Sendai,Japan (3)Tokushima University, Tokushima, Japan |
| SU-I-GPD-I-3 | A Real-Time Quality Assurance Framework for Structural Brain MRI R Gabr*, R He , S Sujit , P Narayana , UUniversity of Texas Health Science Center at Houston, Houston, TX |
| SU-I-GPD-J-59 | Experimental Validation of MC Simulations of ERDF for Proton Imaging Applications E Bentefour1*, Alaka B. G2, Kevin Teo3 D Samuel2 , (1) IBA, Philadelphia, PA, (2) Central University of Karnataka, India (3) University of Pennsylvania |
| SU-I-GPD-J-62 | A New Method for Denoising and Enhancement of Megavoltage CT Based On Dictionary Learning c yue1*, J Zhu2 , (1) Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Shizhong, (2) Shandong Cancer Hospital to Shandong University, Shandong Academy of Medica, Jinan City, shandong provice |
| SU-I-GPD-J-71 | Prediction of Local Persistence/Recurrence After Radiation Therapy Treatment of Head and Neck Cancer From PET/CT Using a Multi-Objective Radiomics Model Q Zhang*, Z Zhou , G Qin , P Li , J Shah , N Pham , S Gottumukkala , Z Moore , D Sher , J Wang , S Jiang , UT Southwestern Medical Center, Dallas, TX |
| SU-I-GPD-T-179 | Development of An In-House Gamma Analysis Software for TomoTherapy Patient-Specific Quality Assurance (QA) J Kim1*, K Park2 , J Kim2 , H Lee2 , (1) Yonsei Caner Center, Seoul,(2) Yonsei University College of Medicine |
| SU-J400-CAMPUS-F2-4 | Impact of Lesion Surface Area On Lung Cancer Lesions During Systemic Therapy P Ferjancic*, A Roth , D Huff , A Traynor , R Jeraj , S Perlman , D Alberti , University of Wisconsin, Madison, WI |
| SU-K-202-6 | Evaluation of the Gain in Using Higher Order Components of the Thoraco-Abdominal Surface to Estimate Volumetric Tidal Flow P Sabouri*, m ranjbar , U Langner , A Sawant , K Langen , S Mossahebi , University of Maryland School of Medicine, Baltimore, MD |
| SU-K-205-1 | Convolutional Neural Network Fiducial Detection for Position Reconstruction Using a High-Efficiency Cadmium Tungstate Portal Imager C Lindsay1*, W Ansbacher1 , I Gagne1 , J Star-Lack2 , M Bazalova-Carter3 , (1) British Columbia Cancer Agency - Vancouver Island Centre, Victoria, BC (2) Varian Medical Systems, Palo Alto, CA, (3) University of Victoria, Victoria, BC |
| SU-K-205-2 | Histology Classification in Early-Stage Non-Small-Cell Lung Cancers Using Radiomic Features A Haga1,2*, W Takahashi2 , S Aoki2 , K Nawa2 , H Yamashita2 , J Kotoku3 , O Abe2 , K Nakagawa2 , (1) University of Tokushima, Tokushima, (2) The University of Tokyo Hospital, Tokyo, (3) Teikyo University |
| SU-K-205-6 | Radiomics Characteristics Correlate with Immune Activation: A TCIA/TCGA Data Analysis in Head and Neck Squamous Cell Carcinoma J Oh1*, E Katsoulakis1 , J Leeman1 , Y Yu2 , J Tsai1 , S McBride1 , N Katabi1 , A Apte1 , N Lee1 , V Hatzoglou1 , N Riaz1 , J Deasy1 , (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) University of California San Francisco, San Francisco, CA |
| SU-L-205-2 | Impact of Image Preprocessing Methods On the Robustness of MRI-Based Radiomic Classifiers for Glioblastoma H Um*, F Tixier , D Bermudez , A Iyer , A Apte , J Deasy , I Mellinghoff , R Young , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TH-AB-202-4 | Convolutional Neural Network Based Material Decomposition with a Photon-Counting-Detector Computed Tomography System H Gong, S Leng , L Yu , S Tao , K Rajendran , L Ren , C McCollough* , Mayo Clinic, Rochester, MN |
| TH-AB-202-6 | Iron Quantification Using a Whole-Body Photon-Counting Detector Based CT (PCD-CT) System K Rajendran*, S Tao , G Michalak , J Weaver , S Leng , C McCollough , Mayo Clinic, Rochester, MN |
| TH-AB-KDBRB1-6 | Lung Nodule Malignancy Prediction by Combining Handcrafted Features and Deep Convolutional Neural Network S Li1*, L Chen2 ,Z Zhou2 ,H Hao3 , Y Duan1, B Li1, M Folkert2 , S Jiang2 , J Wang2 , (1) Southern Medical University, Guangzhou, Guangdong, China (2) UT Southwestern Medical Center, Dallas, Texas, USA (3) Xidian University, Xian, China |
| TH-CD-KDBRC-3 | Machine Learning-Based Post-Processing Method for Improved Segmentation of Parotid Glands A Iyer*, S Fontenla , R Haq , H Veeraraghavan , J Oh , J Mechalakos , M Hunt , J Deasy , A Apte , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TU-AB-DBRB-8 | Radiomics Features Predict Tumor Volume Change During Head and Neck Cancer Radiotherapy M Surucu1*, I Mescioglu2 , F Cozzi1 , N Hurst1 , B Emami1 , J Roeske1 , (1) Loyola University Medical Center, Maywood, IL, (2) Lewis University, Romeoville, IL, |
| TU-C1000-GePD-F4-4 | CT-Based Protoacoustic Image Reconstruction for Range Verification in Proton Therapy Y Yu*, P Qi, H Peng, Wuhan University, Wuhan, Hubei; L Xing, Stanford Univ, School of Medicine, Stanford, CA |
| TU-C1000-GePD-F5-6 | The Effect of Incorrect Bowtie Filters On Image Quality and Patient Doses During CBCT-Guided Radiotherapy Y Cao1,2*, T Ma1,2, S de Boer1,2, IZ Wang1,2, (1)University at Buffalo (SUNY) (2) Roswell Park Cancer Institute, Buffalo, NY |
| TU-C1030-GePD-F1-3 | Comparison of Noise Analysis and Deep Learning-Based Image Quality Assessment (IQA) Methods for Thoracic Computed Tomography (CT) B Grant1*, J Lee2 , J Chung3 , I Reiser2 , L Lan2 , J Papaioannou3 , M Giger2 , (1) Western Kentucky University, Bowling Green, KY, (2) The University of Chicago, Chicago, IL, (3) University of Chicago Medicine, Chicago, IL, |
| TU-C1030-GePD-F2-3 | Developing and Validating An Automatic System of Tracking Parotid Shrinkage in Weekly MRIs for Adaptive Radiotherapy Y Hu*, S Fontenla , N Tyagi , J Mechalakos , P Zhang , C Polvorosa , N Allgood , G Mageras , M Hunt , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TU-C1030-GePD-F2-5 | A Prospective Weekly Volumetric Magnetic Resonance Imaging (MRI) Study of Parotid Glands and Neck Nodes in Oropharyngeal Cancer (OPC) Patients Treated On a Phase II Trial of Adaptive Radiotherapy (ART) C Polvorosa*, Y Hu , M Hunt , J Mechalakos , P Zhang , S Fontenla , C Shi , X Li , N Allgood , S McBride , N Riaz , N Lee , CJ Tsai , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C1030-GePD-F8-6 | Smarter Cancer Detection Through Machine-Learning Applied to High-Resolution Diffraction Tissue Scanning D Nacouzi*, J Spencer , B zhao , C Leung , S McCall , j greenberg , A Kapadia , Duke University, Durham, NC |
| TU-C1030-GePD-F9-1 | Assessment of Respiratory Excursion of Internal Mammary Nodes for ITV Determination M Jermoumi1*, S James1 , C Ferguson1 , J Barrett1 , C Huh1 , A Al-Basheer1 , (1) Georgia Cancer Center, Augusta University, Augusta, GA, |
| TU-E115-GePD-F1-2 | Contrast Enhance Digital Mammography Based On Photon-Counting Detector M Lee*, D Lee , H Kim , D Kim , H Kim , Yonsei University, Wonju, Gangwon |
| TU-I345-GePD-F5-1 | Achievable Image Quality Metrics From Initial Institutional Experience with Leksell Gamma Knife Icon C Tien*, F Guo, M Petrongolo, JE Bond, Z Chen, Yale School of Medicine, New Haven, CT |
| TU-I345-GePD-F5-5 | Quantitative Assessment of a New Onboard Imaging System for Leksell Gamma Knife Icon J Stanford*, J Treas , A Youssef , J Sheehan , Holy Spirit Cancer Center- A Geisinger Affiliate, Mechanicsburg, PA |
| TU-I345-GePD-F8-3 | Impact of Scan Duration On CT Perfusion-Derived Tissue Volumes in Acute Ischemic Stroke Patients E Wright1*, L Hur1 , M Goyal2,3 , A Demchuk2 , B Menon2,3 , T Lee1 , (1) Medical Biophysics, University of Western Ontario, London, Ontario, Canada. (2) Radiology, Foothills Medical Center, Calgary, Alberta, Canada. (3) Clinical Neuroscience, Foothills Medical Center, Calgary, Alberta, Canada. |
| TU-J430-CAMPUS-F2-3 | Interactive Refinement of Head and Neck Structures Using Multi-Atlas Based Probabilistic Segmentation Maps R Haq*, S Berry , A Iyer , A Apte , M Hunt , J Deasy , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TU-K-202-5 | BEST IN PHYSICS (IMAGING): A Deep Learning Based Model Observer for Low-Contrast Object Detection Task in X-Ray Computed Tomography H Gong, L Yu , S Leng , C McCollough* , Mayo Clinic, Rochester, MN |
| TU-K-207-3 | Medical Image Annotation with a New Low-Rank Modeling-Based Multi-Label Active Learning Method J Wu1, S Ruan2 , C Lian2 , S Mutic1 , M Anastasio1 , H Li1* , (1) Washington University in St. Louis, Saint Louis, MO, (2) University of Rouen, Rouen, Normandy |
| WE-AB-202-4 | Complementary Value of MRI-Radiomics Features and Molecular Biomarkers in Glioblastoma to Predict Overall Survival F Tixier1*, H Um1 , D Bermudez2 , A Iyer1 , A Apte1 , J Deasy1 , I Mellinghoff3 , R Young2 , H Veeraraghavan1 , (1) Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, (2) Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, (3) Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-C1000-GePD-F5-1 | Real-Time Patient Breath Hold Assessment for Deep Inspiration Breath Hold (DIBH) Treatments of Breast Cancer Using Portal Imaging Based Monitoring T Fuangrod1 , P Greer2,3 , J Lehmann2,3,4*, (1) HRH Princess Chulabhorn College of Medical Science, Bangkok, Thailand (2) Department of Radiation Oncology, Calvary Mater Newcastle, Newcastle, Australia, (3) School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, Australia, (4) Institute of Medical Physics, University of Sydney, Sydney, Australia |
| WE-C1000-GePD-F5-2 | User Interface Design for EPID Based Breath-Hold Monitoring System J Lehmann1,2,3*, M Doebrich1,2 , (1) Department of Radiation Oncology, Calvary Mater Newcastle, Newcastle, Australia,(2)School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, Australia, (3) Institute of Medical Physics, University of Sydney, Sydney, Australia |
| WE-C1000-GePD-F8-3 | Effects of Beam Modulation Schemes On Image Quality in Digital Tomosynthesis System D Kim*, D Lee , H Lee , H Kim , Z CHAO , M Lee , H Kim , Yonsei University, Wonju, Gangwon |
| WE-C1030-GePD-F5-1 | Can Radiomic Features Spatially Differentiate Tumor Compartments? J Paul*, Y Liao , A Templeton , J Chu , J Turian , Rush University Medical Center, Chicago, IL |
| WE-C930-GePD-F6-5 | An Open-Source Image Quality Assurance Software for Matlab/Octave M Bedre*, A Alexandrian , N Papanikolaou , S Stathakis , A Sampson , K Rasmussen , D Saenz , N Kirby , Ut Health San Antonio, San Antonio, TX |
| WE-FG-207-3 | Deep Learning for Automated Quantification of Tumor Phenotypes A Hosny1*, T Coroller1 , P Grossmann1 , C Parmar1 , R Zeleznik1 , A Kumar1 , J Bussink2 , R Gillies3 , R Mak4 , H Aerts1 , (1) Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women Hospital, Harvard Medical School, Boston, MA, (2) Radboud University, Nijmegen, Nijmegen, (3) Moffitt Cancer Center, Tampa, FL, (4) Brigham and Women's Hospital, Boston, MA |
| WE-HI-DBRA-2 | An Artificial Neural Network Approach with Dual-Energy Computed Tomography for Estimating the Proton Stopping-Power-Ratio H Lee*, E Je , X Duan , X Jia , M Yang , The University of Texas Southwestern Medical Ctr, Dallas, TX |
| WE-HI-KDBRB1-2 | Characterisation of 4D Ultrasound Systems with Streaming Interfaces for Real-Time Motion Compensation in Radiotherapy S Ipsen*, R Bruder , F Ernst , A Schweikard , Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany |